Autonomous AI Engineer Intern: Build AI Workflows

Stie Yai; United States; On-site; USD 27,552 - 55,104; Full time

Benefits offered by this job

Medical, Dental & Vision Insurance

Flexible Time Off

Paid Holidays and Paid Parental Leave

Global Employee Assistance Program

Job summary

Stie Yai seeks a motivated intern to build agentic AI workflows that automate high-volume engineering tasks, such as CVE triage and ticket management, using the DataRobot platform with AutoML, GenAI tooling, and MLOps capabilities.

You will translate team pain points into well-defined AI/ML problems with measurable success criteria, work independently on deliverables, and present a final showcase to DataRobot leadership. Collaboration with engineering, product, and GTM teams is required.

Qualifications

• Pursuing or recently completed a related undergraduate or graduate degree.
• Proficiency in Python and data manipulation; comfort with scripting.
• Foundational ML concepts: supervised learning, evaluation, feature engineering.

Responsibilities

• Build and deploy agentic AI workflows to automate repeatable, high-volume engineering processes (CVE triage, ticket management).
• Use DataRobot platform (AutoML, GenAI tooling, MLOps) to design, evaluate, and ship solutions.
• Translate ambiguous pain points into well-scoped AI/ML problems with clear success criteria.
• Work autonomously on defined deliverables while coordinating with mentor and team.
• Provide weekly progress updates and participate in an Intern Showcase to DataRobot leadership.
• Collaborate with engineering, product, and GTM teams to ensure context and adoption.
• Document work thoroughly for handoff and future extensions.

Skills

Python

Machine learning concepts

Communication

Independent work

Data manipulation

Education

Bachelor's or Master's in Computer Science, Data Science, Statistics, Engineering, or related quantified field

Tools

Pandas

NumPy

FastAPI

Flask

Docker

LangGraph/CrewAI/LlamaIndex

Job description

Stie Yai seeks a motivated intern to build agentic AI workflows that automate high-volume engineering tasks, such as CVE triage and ticket management, using the DataRobot platform with AutoML, GenAI tooling, and MLOps capabilities.

You will translate team pain points into well-defined AI/ML problems with measurable success criteria, work independently on deliverables, and present a final showcase to DataRobot leadership. Collaboration with engineering, product, and GTM teams is required.